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High-Resolution Stereo Datasets with Subpixel-Accurate ...

High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth Daniel Scharstein1 , Heiko Hirschmu ller2 , York Kitajima1 , Greg Krathwohl1 , Nera Nes ic 3 , Xi Wang1 , and Porter Westling4. 1. Middlebury College, Vermont, USA. 2. German Aerospace Center, Oberpfaffenhofen, Germany 3. Reykjavik University, Iceland 4. LiveRamp, San Francisco, USA. Abstract. We present a structured lighting system for creating high- resolution Stereo Datasets of static indoor scenes with highly accurate ground-truth disparities. The system includes novel techniques for effi- cient 2D subpixel correspondence search and self-calibration of cameras and projectors with modeling of lens distortion.

estimates from multiple projector positions we are able to achieve a dis-parity accuracy of 0.2 pixels on most observed surfaces, including in half-occluded regions. We contribute 33 new 6-megapixel datasets obtained with our system and demonstrate that they present new challenges for the next generation of stereo algorithms. 1 Introduction

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